How external data makes AI more reliable - Retrieval augmented generation explained
Artificial intelligence (AI) is changing the world of work - but many companies are faced with the challenge of incomplete or unreliable answers from language models. Retrieval Augmented Generation (RAG) offers a solution: the method combines AI systems with external, verifiable data sources to create comprehensible, up-to-date and fact-based results.
SMEs in Switzerland in particular benefit from this technology. RAG improves customer service, strengthens knowledge management, accelerates internal processes and supports fault diagnosis in production.
In the new article, Prof Dr Mascha Kurpicz-Briki from Bern University of Applied Sciences explains how companies can link their own data with AI in a targeted manner - and why RAG is the key to trustworthy artificial intelligence.